Abstract
Stress is becoming a major problem in our society and most people do not know how to cope with it. We propose a novel approach to quantify the stress level using psychophysiological measures. Using an automatic stress detector that can be implemented in a mobile application, we managed to create an alternative to automatically detect stress using sensors from a wearable device, and once it is detected, a score is calculated for each one of the records. By identifying the stress during the day and giving a numeric value from biological signals to it, a visualization could be produced to facilitate the analysis information by users.
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Notes
- 1.
The algorithm will be publish on a future work by the same authors.
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Acknowledgments
This work has been supported by Asociación Mexicana de Cultura A.C. and the Consejo Nacional of Ciencia and Tecnología of México (CONACyT).
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Garcia-Mancilla, J., Gonzalez, V.M. (2016). Stress Quantification Using a Wearable Device for Daily Feedback to Improve Stress Management. In: Zheng, X., Zeng, D., Chen, H., Leischow, S. (eds) Smart Health. ICSH 2015. Lecture Notes in Computer Science(), vol 9545. Springer, Cham. https://doi.org/10.1007/978-3-319-29175-8_19
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